Corpus ID: 11367950

An Improved Dataset and Extraction Process for Starcraft AI

  title={An Improved Dataset and Extraction Process for Starcraft AI},
  author={Glen Robertson and I. Watson},
  booktitle={FLAIRS Conference},
  • Glen Robertson, I. Watson
  • Published in FLAIRS Conference 2014
  • Computer Science
  • In order to experiment with machine learning and data mining techniques in the domain of Real-Time Strategy games such as StarCraft, a dataset is required that captures the complex detail of the interactions taking place between the players and the game. [...] Key Method This process is applied to a collection of expert replays, creating a new standardised dataset.Expand Abstract
    21 Citations
    Early Prediction of the Winner in StarCraft Matches
    • 4
    • Highly Influenced
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    Use of Machine Learning Techniques in Real-Time Strategy Games
    • 1
    Learning macromanagement in starcraft from replays using deep learning
    • Niels Justesen, S. Risi
    • Computer Science
    • 2017 IEEE Conference on Computational Intelligence and Games (CIG)
    • 2017
    • 48
    • PDF
    Towards Embodied StarCraft II Winner Prediction
    • 2
    • PDF
    Learning Behaviour by Observation for Real-Time Strategy Games
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    • 13
    • PDF
    Macro action selection with deep reinforcement learning in StarCraft
    • 8
    • PDF


    Replay-based strategy prediction and build order adaptation for StarCraft AI bots
    • 28
    • PDF
    A Dataset for StarCraft AI and an Example of Armies Clustering
    • 20
    • Highly Influential
    A data mining approach to strategy prediction
    • B. Weber, M. Mateas
    • Computer Science
    • 2009 IEEE Symposium on Computational Intelligence and Games
    • 2009
    • 233
    • PDF
    A Bayesian Model for Plan Recognition in RTS Games Applied to StarCraft
    • 86
    • PDF
    Building a player strategy model by analyzing replays of real-time strategy games
    • Ji-Lung Hsieh, C. Sun
    • Computer Science
    • 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)
    • 2008
    • 93
    • Highly Influential
    • PDF
    Learning Probabilistic Behavior Models in Real-Time Strategy Games
    • 80
    • Highly Influential
    • PDF
    Learning from Demonstration and Case-Based Planning for Real-Time Strategy Games
    • 42
    • PDF
    Build Order Optimization in StarCraft
    • 95
    • Highly Influential
    • PDF